Run
9954270

Run 9954270

Task 115 (Learning Curve) vowel Uploaded 09-01-2019 by Continuous Integration
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Flow

sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.StandardScaler, boosting=sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator =sklearn.tree.tree.DecisionTreeClassifier))(2)Automatically created scikit-learn flow.
sklearn.tree.tree.DecisionTreeClassifier(28)_class_weightnull
sklearn.tree.tree.DecisionTreeClassifier(28)_criterion"gini"
sklearn.tree.tree.DecisionTreeClassifier(28)_max_depthnull
sklearn.tree.tree.DecisionTreeClassifier(28)_max_featuresnull
sklearn.tree.tree.DecisionTreeClassifier(28)_max_leaf_nodesnull
sklearn.tree.tree.DecisionTreeClassifier(28)_min_impurity_decrease0.0
sklearn.tree.tree.DecisionTreeClassifier(28)_min_impurity_splitnull
sklearn.tree.tree.DecisionTreeClassifier(28)_min_samples_leaf1
sklearn.tree.tree.DecisionTreeClassifier(28)_min_samples_split2
sklearn.tree.tree.DecisionTreeClassifier(28)_min_weight_fraction_leaf0.0
sklearn.tree.tree.DecisionTreeClassifier(28)_presortfalse
sklearn.tree.tree.DecisionTreeClassifier(28)_random_state56750
sklearn.tree.tree.DecisionTreeClassifier(28)_splitter"best"
sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.StandardScaler,boosting=sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier))(2)_memorynull
sklearn.preprocessing.data.StandardScaler(15)_copytrue
sklearn.preprocessing.data.StandardScaler(15)_with_meanfalse
sklearn.preprocessing.data.StandardScaler(15)_with_stdtrue
sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier)(9)_algorithm"SAMME.R"
sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier)(9)_learning_rate1.0
sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier)(9)_n_estimators50
sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier)(9)_random_state19579

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

0.8993 ± 0.0192
Per class
0.8169 ± 0.0351
Per class
0.7987 ± 0.0383
8015.9777 ± 3.5875
0.0333 ± 0.0063
0.1653
9900
Per class
0.8172 ± 0.0336
Per class
0.817 ± 0.0349
3.4594
0.817 ± 0.0349
Per class
0.2013 ± 0.0383
0.2875
0.1824 ± 0.0174
0.6346 ± 0.0605